This class must inherit from classical Analyzer function
Should it be used to analyze a sequence of ks or it is only a wrapper of sklearn clustering function?
First option, well suited for analyzing metrics and so on, maybe it is too difficult to use it afterwards, difficult implementation
Second option, smoother so that we use only sklearn + hmmlearn functions with fixed parameters, it can implement methods to get centroids and transform data in case we want to use a subsampled data for training and the full dataset for testing, maybe it is better also for RT, maybe. So that sequence of parameters can be used with AnalysisIterator.
This class must inherit from classical Analyzer function
Should it be used to analyze a sequence of ks or it is only a wrapper of sklearn clustering function?
I will implement second option.
fit
transform